OFDM

读取SHT20的数据发送到主控STM32F103vet6(Read data from SHT20 and send it to master STM32F103vet6)

power allocation in NOMA

捷连惯导和GPS组合导航,利用kalman滤波进行数据融合并输出(Jie Lian INS and GPS navigation, the use of kalman filter for data fusion and output)

说明：  用matlab实现简单的bpsk系统，熟悉bpsk系统的特性(Implementing BPSK with MATLAB)

Automatic Target Detection and tracking in FLIR Image sequences using Morphological connected operator

说明：  高阶累积量进行识别常用的数字调制信号，低信噪比下识别率高达90%(It uses the method of high cumulant to recognize usual digital signals, under low SNR, the radio is still over 90%.)

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)

说明：  仿真Alamouti 的 BER 性能曲线（QPSK 调制）(Simulation BER of QPSK Alamouti STBC with two transmit and receive antenna)

ADIBEAM Abstract—the increase in navigation accuracy demanded by EGNOS and Galileo and their future evolution encourages the study and design of advance receiver architectures. In that direction, the ADIBEAM project focuses on the design of high accuracy ground stations, specifically GNSS Reference Stations, in order to improve its robustness in front of multipath and interference errors with the goal of achieving centimeter level tracking accuracy. The adoption of antenna arrays and digital beamforming at the ground reference station receivers is one of the most promising approaches to cope with errors induced by multipath and interference.

qpsk的仿真以及根升余弦滤波器成形另外有误比特率的比较(qpsk simulation and shaping the root raised cosine filter)